论文标题
通过使用SAS VIYA的数据驱动模型,评估墨西哥中部海上水库和盐水地层的二氧化碳储能潜力
Evaluating CO2 Storage Potential of Offshore Reservoirs and Saline Formations in Central Gulf of Mexico by Employing Data-driven Models with SAS Viya
论文作者
论文摘要
Secarb离岸合作伙伴项目旨在筛选墨西哥中部中部(GOM)中的深盐水含水层和碳氢化合物储层,以供二氧化碳固换和CO2驱动的增强的石油和天然气恢复,并估算相应的二氧化碳存储资源,以用于精选储层。为此,已经完成了三个主要目标:从不同来源管理地质数据,构建用于二氧化碳存储的储层筛选平台,并根据估计的存储潜力对储层进行排名。首先,检查了中央GOM的架子和深水区域的主要地质特征,并比较定义适当的储层筛选标准。因此,计算了筛选的储层的CO2存储资源,并在Boem场级别进行了报告,以识别具有最高存储电位的字段。在项目的当前阶段,评估正在扩展到盐水形成。正在为广泛的岩石和流体特性(包括厚度,孔隙度,渗透率,流体饱和度和流体化学性质)鉴定,测试和开发相关性。这些相关性是用于界面张力和二氧化碳饱和的盐水粘度的开发,以改善储存估计值,并考虑二氧化碳在储层流体中的毛细管捕获和溶解度。 SAS VIYA软件用于对离岸储层的这些特性进行可视化,并进行比较并在实验和估计的相关度量之间提出相似之处。使用交互式图,可以筛选不同的条件,从用户的角度来看,分析更具吸引力。
The SECARB offshore partnership project seeks to screen deep saline aquifers and hydrocarbon reservoirs in the central Gulf of Mexico (GOM) for CO2 sequestration and CO2-driven enhanced oil and gas recovery and estimate the corresponding CO2 storage resources for select reservoirs. To this end, three major objectives have been completed: managing geological data from different sources, building a reservoir screening platform for CO2 storage, and ranking the reservoirs based on the estimated storage potential. First, the major geological characteristics of both shelf and deep-water areas of the central GOM were examined and compared to define the appropriate reservoir screening criteria. Consequently, the CO2 storage resources of the screened reservoirs were calculated and reported at the BOEM field level to identify fields with the highest storage potential. In the project's current phase, the assessment is being expanded to saline formations. Correlations are being identified, tested, and developed for a broad range of rock and fluid properties, including thickness, porosity, permeability, fluid saturation, and fluid chemistry. These correlations are developed for interfacial tension and CO2 saturated brine viscosity to improve the storage estimates and consider the capillary trapping and solubility of CO2 in reservoir fluids. SAS Viya software is used to make visualizations of these properties of the offshore reservoir and make comparisons and draw similarities between the experimental and estimated correlated measures. Using interactive plots, different conditions could be screened, making the analysis more attractive from a user's point of view.